Omnidirectional perfect acoustic cloak realized by homogeneous materials. (arXiv:1911.07073v1 [physics.app-ph])

Acoustic cloaks derived by coordinate transformation have opened up a new field of considerable interest in the last two decades. However, since perfect omnidirectional acoustic cloak relies on inhomogeneous and anisotropic materials that posses extreme values in certain regions, this cloak was deemed impossible to be attained even with metamaterials. Recently, our group was competent…

Science Challenges in Low Temperature Plasma Science and Engineering: Enabling a Future Based on Electricity through Non-Equilibrium Plasma Chemistry. (arXiv:1911.07076v1 [physics.plasm-ph])

The science and technology of Low Temperature Plasmas (LTPs) harbor dynamic and versatile methods of converting the potential energy of electricity to chemical reactivity, thereby enabling the Future Based on Renewable Electricity (FBRE). Research on LTPs connects fields as diverse as engineering, plasma physics, biology and medicine, and so LTPs embody the definition of convergent…

On equilibrium equations and their perturbations using three different variational formulations of nonlinear electroelastostatics. (arXiv:1911.07090v1 [physics.class-ph])

We derive the equations of nonlinear electroelastostatics using three different variational formulations involving the deformation function and an independent field variable representing the electric character – considering either one of the electric field $\mathbb{E}$, electric displacement $\mathbb{D}$, or electric polarization $\mathbb{P}$. The first variation of the energy functional results in the set of Euler-Lagrange partial…

Kvasir-SEG: A Segmented Polyp Dataset. (arXiv:1911.07069v1 [eess.IV])

Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation masks. In this paper, we present Kvasir-SEG: an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an experienced gastroenterologist.…

Integration of stationary wavelet transform on a dynamic partial reconfiguration: case study separating preictal gamma oscillations from transitory activities for early build up epileptic seizure. (arXiv:1911.07078v1 [eess.SP])

To define the neural networks responsible of the epileptic seizure, we had to study the electrophysiological signal in a proper way. The early recognition of the seizure build up could also be defined through the time space mapping of the preictal gamma oscillations. The electrophysiological signals present three types of wave: oscillations, spikes, and a…

Evaluation of techniques for predicting seizure Build up. (arXiv:1911.07081v1 [eess.SP])

The analysis of electrophysiological signal of scalp: EEG (electroencephalography), MEG (magnetoencephalography) and depth (intracerebral EEG) IEEG is a way to delimit epileptogenic zone (EZ). These epileptic signals present two different activities (oscillations and spikes) which can be overlapped in the time frequency plane. Automatic recognition of epileptic seizure occurrence needs several preprocessing steps. In this…

Liver Steatosis Segmentation with Deep Learning Methods. (arXiv:1911.07088v1 [eess.IV])

Liver steatosis is known as the abnormal accumulation of lipids within cells. An accurate quantification of steatosis area within the liver histopathological microscopy images plays an important role in liver disease diagnosis and trans-plantation assessment. Such a quantification analysis often requires a precise steatosis segmentation that is challenging due to abundant presence of highly overlapped…

VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation. (arXiv:1911.07098v1 [cs.SD])

The performance of sound event detection methods can significantly degrade when they are used in unseen conditions (e.g. recording devices, ambient noise). Domain adaptation is a promising way to tackle this problem. In this paper, we present VOICe, the first dataset for the development and evaluation of domain adaptation methods for sound event detection. VOICe…

Homogenization of oblique boundary value problems. (arXiv:1911.06909v1 [math.AP])

We consider a nonlinear Neumann problem, with periodic oscillation in the elliptic operator and on the boundary condition. Our focus is on problems posed in half-spaces, but with general normal directions that may not be parallel to the directions of periodicity. As the frequency of the oscillation grows, quantitative homogenization results are derived. When the…